Statistical and Structural Approaches to Texture

A b m t-I n this survey we review the impge processing literature on the various approaches and models investigators have uaed for texture.

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[25]  Azriel Rosenfeld,et al.  A Note on Thinning , 1976, IEEE Transactions on Systems, Man, and Cybernetics.

[26]  Len Kirvida.  Texture Measurements for the Automatic Classification of Imagery , 1976, IEEE Transactions on Electromagnetic Compatibility.

[27]  Roger W. Ehrich,et al.  Representation of Random Waveforms by Relational Trees , 1976, IEEE Transactions on Computers.

[28]  Azriel Rosenfeld,et al.  A Comparative Study of Texture Measures for Terrain Classification , 1975, IEEE Transactions on Systems, Man, and Cybernetics.

[29]  Ruzena Bajcsy,et al.  Texture gradient as a depth cue , 1976 .

[30]  S. Zucker.  Toward a model of texture , 1976 .

[31]  Jerome A. Feldman,et al.  Understanding Natural Texture , 1977 .

[32]  Jean Serra,et al.  “One, Two, Three,... Infinity” , 1978 .

[33]  Owen Robert Mitchell,et al.  Image segmentation using a local extrema texture measure , 1978, Pattern Recognit..

[34]  T. Fukumura,et al.  Extraction of structural information from grey pictures , 1978 .

[35]  King-Sun Fu,et al.  A syntactic approach to texture analysis , 1978 .

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[38]  Bernd Jähne,et al.  Neighborhood Operators , 2000, Computer Vision and Applications.

[39]  Bruce H. McCormick,et al.  A decision theory method for the analysis of texture , 1975, International Journal of Computer & Information Sciences.

[40]  Bruce H. McCormick,et al.  Time series model for texture synthesis , 2004, International Journal of Computer & Information Sciences.

[41]  Ground pattern analysis in the Great Plains , 2016 .

[42]  G. Hua,et al.  Texture Synthesis , 2020, Computer Vision.